AI Research Analyst (AI & Digital Asset Solutions - SMO)
Core
Design and implement AI-enabled capabilities across the investment lifecycle, bridging cutting-edge research and real-world deployment for investment teams.
Role type
Applied AI Research Analyst (Investment Management)
Builds
Agentic workflows, research copilots, portfolio construction enhancements, and client-facing tools for investment teams.
Domain
Financial services / Investment Management / Applied Machine Learning
Deliverable
production ML models | product features
Required skills
Applied quantitative analysis, Deep Learning/ML model development, Python programming, End-to-end solution ownership, Ambiguous problem scoping, Financial market concepts
Preferred skills
Advanced degree in CS/ML/Stats/Math, C++/Java/C#/JavaScript proficiency, Time series modeling, Optimization techniques
Technologies
Python, C++, Java, C#, JavaScript, Deep Learning frameworks, Time series modeling tools
Responsibilities
Identify opportunities to enhance alpha generation, portfolio construction, and risk management with AI; Translate ambiguous investment problems into well-scoped technical solutions; Collaborate with engineering teams to productionize models; Drive adoption of AI tools by communicating results; Contribute to firm-wide AI strategy and use case identification.
Seniority
Mid-level, hands-on IC